A data-driven modeling approach for augmenting climate model simulations and its application to Pacific-Atlantic interbasin interactions
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- RICHTER INGO
- Principal Investigator
- 国立研究開発法人海洋研究開発機構
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- 東塚 知己
- Co-Investigator
- 東京大学
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- 木戸 晶一郎
- Co-Investigator
- 国立研究開発法人海洋研究開発機構
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- 時長 宏樹
- Co-Investigator
- 九州大学
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- 小坂 優
- Co-Investigator
- 東京大学
About This Project
- Japan Grant Number
- JP23K25946 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 23K25946
- Research Category
- Grant-in-Aid for Scientific Research (B)
- Allocation Type
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- Multi-year Fund
- Single-year Grants
- Review Section / Research Field
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- Basic Section 17020:Atmospheric and hydrospheric sciences-related
- Research Institution
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- Japan Agency for Marine-Earth Science and Technology
- Project Period (FY)
- 2023-04-01 〜 2027-03-31
- Project Status
- Granted
- Budget Amount*help
- 18,460,000 Yen (Direct Cost: 14,200,000 Yen Indirect Cost: 4,260,000 Yen)
Research Abstract
This project aims to show that it is possible to reproduce aspects of global climate model simulations with a data-driven framework that requires only a fraction of the computational cost. This technique will be used to better understand the interaction between the tropical Atlantic and El Nino.
Keywords
Details 詳細情報について
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- CRID
- 1040299826880334848
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- Text Lang
- ja
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- Data Source
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- KAKEN
